Suppr超能文献

脑刺激奖赏的增长作为持续时间和刺激强度的函数。

Growth of brain stimulation reward as a function of duration and stimulation strength.

作者信息

Sonnenschein Bonnie, Conover Kent, Shizgal Peter

机构信息

Department of Psychology, Center for Studies in Behavioural Neurobiology, Concordia University, 7141 Sherbrooke Street West, Montreal, Quebec H4B 1R6, Canada.

出版信息

Behav Neurosci. 2003 Oct;117(5):978-94. doi: 10.1037/0735-7044.117.5.978.

Abstract

The strength of a train of rewarding brain stimulation required to support a criterion level of operant performance declines hyperbolically as the duration is increased. This finding has been attributed to a process of leaky integration. However, the rate at which integration approaches asymptote has been shown to depend on stimulation strength, a finding that differs from the behavior of a simple leaky integrator. The authors replicate both findings and show that they are both well described by a new model that incorporates a hyperbolic strength-duration function, a logistic function mapping stimulation frequency onto reward intensity, and another logistic function mapping reward intensity onto performance.

摘要

为维持操作性行为表现的标准水平所需的一系列奖励性脑刺激的强度,会随着刺激持续时间的增加呈双曲线下降。这一发现被归因于一种漏积分过程。然而,已有研究表明,积分趋近渐近线的速率取决于刺激强度,这一发现与简单漏积分器的行为不同。作者重复了这两项发现,并表明它们都能被一个新模型很好地描述,该模型包含一个双曲线强度-持续时间函数、一个将刺激频率映射到奖励强度的逻辑函数,以及另一个将奖励强度映射到行为表现的逻辑函数。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验